Collaborative Research: Frameworks: Advancing Computer Hardware and Systems' Research Capability, Reproducibility, and Sustainability with the gem5 Simulator Ecosystem

协作研究：框架：利用 gem5 模拟器生态系统提升计算机硬件和系统的研究能力、可重复性和可持续性

• 批准号: 2311892
• 负责人: Tushar Krishna
• 金额: $ 20万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2027-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2311892&HistoricalAwards=false
• 关键词: Collaborative; Research; Frameworks; Advancing; Computer

This project aims to improve the cyberinfrastructure ecosystem for computer system research by expanding and improving the popular gem5 simulation infrastructure. The breakdown in Moore’s Law and Dennard Scaling is leading to a drastic increase in the scale of computing systems, making it increasingly difficult to make broad scientific progress in research to improve computer systems without considering the entire scale of the hardware-software stack from transistors to applications. This project will build on prior NSF investments and scale the gem5 simulator to more users, more types of computing systems, larger and higher fidelity computing systems, and more scientific communities beyond computer architecture. These improvements to the gem5 simulation infrastructure will enable researchers to design and understand the next generation of supercomputers, laptops, and mobile devices. It also supports education and diversity by creating teaching materials to broaden the participation in computer systems research for both graduate and undergraduate students.Working with a large and diverse team of experts from the computer architecture community, this project will develop a wide variety of improvements to the gem5 simulation infrastructure. This includes modeling future devices and phenomena such as reliability, security, and chiplets; creating scalable models for modern hardware by improving the accuracy of current models, adding support for emerging vector extensions, and improving support for common accelerators such as GPUs; scaling simulation performance by optimizing gem5’s performance and providing interoperability with other simulation infrastructure; improving modularity, reusability, and reproducibility by making baseline system easier to use and providing ready-to-use benchmarks for many domains; and sustaining the community with outreach and education by running workshops, tutorials, bootcamps and expanding gem5’s userbase beyond computer architects through developing asynchronous learning and teaching tools. Additionally, it will help ensure the long-term sustainability of the gem5 infrastructure by growing a sustainable ecosystem and increasing participation in computer system research.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Division of Computing and Communications Foundations within the Directorate for Computer and Information Science and Engineering.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在通过扩展和改进流行的gem 5仿真基础设施来改善计算机系统研究的网络基础设施生态系统。摩尔定律和Dennard缩放的崩溃导致计算系统规模的急剧增加，使得在不考虑从晶体管到应用程序的硬件-软件堆栈的整个规模的情况下，在改进计算机系统的研究中取得广泛的科学进展变得越来越困难。该项目将建立在NSF之前的投资基础上，并将gem 5模拟器扩展到更多的用户，更多类型的计算系统，更大和更高保真的计算系统，以及计算机架构之外的更多科学社区。gem 5仿真基础设施的这些改进将使研究人员能够设计和理解下一代超级计算机、笔记本电脑和移动的设备。它还通过创建教学材料来支持教育和多样性，以扩大研究生和本科生对计算机系统研究的参与。该项目将与来自计算机体系结构社区的大型和多样化的专家团队合作，对gem 5仿真基础设施进行各种改进。这包括对未来的设备和现象（如可靠性、安全性和小芯片）进行建模;通过提高当前模型的准确性、增加对新兴向量扩展的支持以及提高对GPU等常见加速器的支持，为现代硬件创建可扩展模型;通过优化gem 5的性能并提供与其他仿真基础设施的互操作性，扩展仿真性能;通过使基线系统更易于使用并为许多领域提供即用型基准，提高模块化、可重用性和可重复性;通过举办研讨会、教程、训练营和通过开发异步学习和教学工具将gem 5的用户群扩展到计算机架构师之外，从而通过外联和教育来维持社区。此外，本发明还这将有助于确保长期-通过发展可持续的生态系统和增加对计算机系统研究的参与来实现gem 5基础设施的长期可持续性。高级网络基础设施办公室颁发的这一奖项由计算机和信息科学与工程理事会内的计算和通信基金会部门共同支持。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来提供支持。